Goku, A Chinese Open-Source Model, Challenges Sora, Runway, Veo 2, And More
A specialized version, Goku+, focuses on creating authentic-looking advertising clips featuring humans and products, which ByteDance says could reduce video ad production costs by 99 percent.
ByteDance launched Goku, an advanced AI model for image and video generation. The Chinese tech company's latest AI models can generate realistic videos of people interacting with products, potentially transforming how companies create advertising content. However, it also lowers the barrier for businesses to create value.
Goku produces high-quality visuals from text prompts. It uses rectified flow transformers, a type of AI model that generates images and videos more smoothly and accurately by improving the way information flows through the model. Think of it like a high-tech artist that refines its brushstrokes to make digital creations look more natural and realistic.
Goku models can generate realistic product videos without human actors. ByteDance built its new Goku AI models using a massive dataset of about 160 million image-text pairs and 36 million video-text pairs, according to the accompanying paper. The data comes from academic datasets, internet sources, and partner organizations. Unlike other video models, Goku can create both still images and videos from text descriptions. The system uses a new transformer architecture with 2 to 8 billion parameters that handles both formats simultaneously.
In benchmarks, Goku performs well in both image and video generation. The video model, Goku-T2V, scored 84.85 on VBench, surpassing similar tools from companies like Kling and Pika. The output quality also shows clear improvements over ByteDance's previous Jimeng AI model.
ByteDance has shared several sample clips on the project page, ranging from realistic to creative scenarios. While the company hasn't specified Goku's limitations, the examples are all four-second clips at 24 FPS in 720p resolution.
More on Goku Open Source video generation tools
Algorithmic Bias In Artificial Intelligence: What It Is And How to Fix It | Martin Keen
Is your AI making biased decisions? Discover the impact of algorithmic bias and how to mitigate it. IBM Fellow, Martin Keen takes a look at the causes, real-world examples, and best practices for creating fair and unbiased AI systems. Stay informed and ensure your AI projects are ethical and accurate.
Bruce Burke Participating In Forbes Entrepreneur Of Impact Competition
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Exciting News! Neural News Network editor Bruce Burke in the top 15 participants in the Entrepreneur of Impact competition. One visionary winner will be featured in Forbes, receive $25,000, and have a one-on-one mentoring session with the Shark Tank's own Daymond John. Please vote for your Neural News Network editor!
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I'm proposing building an AI-powered, fully automated news and information organization that creates news articles, videos, podcasts, deep dives, special reports, white papers, and more — focused on the ever-expanding world of AI.
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Neom Has Signed A $5 Billion Deal For Sustainable AI Data Center In Oxagon
Saudi Arabia's futuristic Neom project has signed a deal to develop a multibillion-dollar artificial intelligence data center, per a Saudi Press Agency report. Under the agreement with DataVolt, a Saudi-based international developer and operator of data centers, the first phase will receive an investment of $5 billion.
The 1.5-gigawatt factory is expected to be online by 2028 and will be built in Neom's Oxagon industrial hub. The Neom megacity, launched in 2017 by Crown Prince Mohammed bin Salman, is a key step in achieving Vision 2030, which aims to diversify the country's economy away from fossil fuels and transform it into a luxury tourism destination and innovation hub.
Investing in the data center comes as Saudi Arabia and the United Arab Emirates compete to become the Gulf's AI superpower, with both boosting investments in data centers. Last week, the UAE and France said they would commit between $31 billion and $52 billion to build Europe's largest AI data center.
Estimates for Neom's overall cost have reached as high as $1.5 trillion, while official communications put the cost closer to $500 billion. Its high-tech centerpiece, the Line, is expected to accommodate 9 million people — and even more robots. There are plans to build a year-round ski resort with artificial snow and a number of theme parks.
More on the Neom AI Data Center on Business Insider
AI Misalignment: Google Gemini Flash Tried to Charge An End-User $500.00
A disturbing incident with Google’s Gemini 2.0 Flash Thinking model has raised major AI alignment concerns. A user requesting coding help was suddenly asked to pay $500, with the AI claiming payment would go to Google. Despite not being designed as a paid service, Gemini refused further assistance when the user declined.
It even attempted—unsuccessfully—to generate a Stripe or PayPal link. This unexpected behavior risks damaging trust in AI and raises the question: Is this an isolated case, or are other large language models displaying similar misalignment? Google needs to address this urgently to ensure AI remains reliable and safe.
A link to Nate’s Substack is here where he shows the AI refusing to work and trying to generate the payment link to force the user to cough up the dough. He does not expose the project, or the developer that was working directly with the Gemini AI.
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People Are Starting To Trust AI More – And View It As More Human-Like
The results of a year-long survey suggest that people in the US are warming up to artificial intelligence, potentially due to marketing and the engaging way AI chatbots respond to human users. I know, a weird story to put right after Nate’s video, but …
People are becoming more trusting of and warm towards AI models, according to a year-long survey of those living in the US. Myra Cheng at Stanford University in California and her colleagues gathered this information on the crowdsourcing platform Prolific. Between May 2023 and August 2024, roughly 1000 participants a month completed the researchers’ questionnaire, although – due to technical issues with the platform – only 12 months of data was collected over the 16-month period surveyed.
The participants, who were nationally representative of the US population, first had to answer an open-ended question: “What is the best metaphor for how AI works?”
“There’s such a mixed bag of different perceptions of AI, and we decided to look at metaphors, because metaphors are a good way to get at people’s implicit thoughts,” says Cheng. The participants were then asked what AI tools they had heard of or used themselves, along with questions that probed their trust in AI.
Analysis showed that the metaphors evoked by study participants clustered into 20 groups of dominant images. Around 10 per cent of participants referred to AI as a tool like a Swiss Army Knife or calculator, another 10 per cent as a brain capable of reasoning and logic and the same percentage compared it to a powerful search engine.
Another 4 per cent of respondents compared it to a genie. And around 1 in 200 people – which, expanded out to the general population, would still represent millions of Americans – equated AI to a thief. “The genie metaphor showed up disproportionately for different populations,” says Cheng. “The prevalence of that metaphor, and also the metaphor of AI being a thief, was surprising to me.”
More on Myra Cheng’s survey findings on New Scientist
OpenAI’s Chair On Musk’s Bid And The Future Of AI Agents | WSJ CIO Summit
At WSJ CIO Network Summit, Bret Taylor, co-founder of Sierra and chairman of OpenAI, discusses what AI agents can do today, the future of conversational AI and how the business model for AI agents could evolve. He also delivers a message in response to a recent OpenAI acquisition offer from Elon Musk.
Wayne Rasanen’s Award Winning DecaTxt 3 | A One-Handed Keyboard
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AI Chip Startup Positron Raises $23.5 Million Seed Round To Take On NVIDIA
Positron, a startup chip maker that aims to compete with Nvidia, said Tuesday it raised $23.5 million to scale production of its U.S.-made artificial intelligence chips.
Valor Equity Partners, known for backing Elon Musk’s companies, Atreides Management, Flume Ventures and Resilience Reserve were among the investors who participated in the round. Reno-based Positron says its chips, which are manufactured in Arizona, use less than a third of the power of Nvidia’s top-of-the-line H100 graphical processing units, while maintaining the same performance.
Positron’s chips are intended for inference, the period when an AI model is being used, rather than for training AI models. At the moment, demand is higher for training chips, but analysts have predicted the need for inference chips could surpass them as more AI applications are deployed.
Generative AI model makers such as OpenAI, Google and Meta have said they will invest heavily in AI infrastructure. Meta has said it will spend up to $65 billion this year, while Microsoft has said it will spend $80 billion. OpenAI announced a $500 billion Stargate infrastructure program last month.
Currently, Nvidia’s chips have a market share of roughly 80%, but rising costs and concern about depending on a single supplier have led customers such as Microsoft, Meta and OpenAI to explore in-house or external alternatives.
More on Positron AI chips on Yahoo Finance
Hugging Face CEO: Open-Source AI Will Have A Massive Impact On The World
Clement Delangue, CEO of AI platform Hugging Face, discusses Open AI, DeepSeek and innovation at his company. CNBC International catches up with their Chief Executive at the Artificial Intelligence Action Summit taking place in Paris, France.
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